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GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

18 April 2021
Kang Min Yoo
Dongju Park
Jaewook Kang
Sang-Woo Lee
Woomyeong Park
ArXivPDFHTML

Papers citing "GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation"

50 / 155 papers shown
Title
Leveraging Large Language Models in Conversational Recommender Systems
Leveraging Large Language Models in Conversational Recommender Systems
Luke Friedman
Sameer Ahuja
David Allen
Zhenning Tan
Hakim Sidahmed
...
Ajay Patel
Harsh Lara
Brian Chu
Zexiang Chen
Manoj Kumar Tiwari
32
102
0
13 May 2023
COKE: A Cognitive Knowledge Graph for Machine Theory of Mind
COKE: A Cognitive Knowledge Graph for Machine Theory of Mind
Jincenzi Wu
Zhuang Chen
Jiawen Deng
Sahand Sabour
Helen Meng
Minlie Huang
27
16
0
09 May 2023
How to Unleash the Power of Large Language Models for Few-shot Relation
  Extraction?
How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
Xin Xu
Yuqi Zhu
Xiaohan Wang
Ningyu Zhang
KELM
LRM
52
47
0
02 May 2023
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in
  Classification Tasks
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks
Anders Giovanni Møller
Jacob Aarup Dalsgaard
Arianna Pera
L. Aiello
81
35
0
26 Apr 2023
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Jingfeng Yang
Hongye Jin
Ruixiang Tang
Xiaotian Han
Qizhang Feng
Haoming Jiang
Bing Yin
Xia Hu
LM&MA
134
622
0
26 Apr 2023
Generation-driven Contrastive Self-training for Zero-shot Text
  Classification with Instruction-following LLM
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM
Ruohong Zhang
Yau-Shian Wang
Yiming Yang
SyDa
34
10
0
24 Apr 2023
Evaluation of ChatGPT Model for Vulnerability Detection
Evaluation of ChatGPT Model for Vulnerability Detection
Anton Cheshkov
Pavel Zadorozhny
Rodion Levichev
21
68
0
12 Apr 2023
Synthesis of Mathematical programs from Natural Language Specifications
Synthesis of Mathematical programs from Natural Language Specifications
G. Prasath
Shirish S. Karande
27
6
0
30 Mar 2023
Self-Improving-Leaderboard(SIL): A Call for Real-World Centric Natural
  Language Processing Leaderboards
Self-Improving-Leaderboard(SIL): A Call for Real-World Centric Natural Language Processing Leaderboards
Chanjun Park
Hyeonseok Moon
Seolhwa Lee
Jaehyung Seo
Sugyeong Eo
Heu-Jeoung Lim
25
2
0
20 Mar 2023
Data-centric Artificial Intelligence: A Survey
Data-centric Artificial Intelligence: A Survey
Daochen Zha
Zaid Pervaiz Bhat
Kwei-Herng Lai
Fan Yang
Zhimeng Jiang
Shaochen Zhong
Xia Hu
21
192
0
17 Mar 2023
Mixture of Soft Prompts for Controllable Data Generation
Mixture of Soft Prompts for Controllable Data Generation
Derek Chen
Celine Lee
Yunan Lu
Domenic Rosati
Zhou Yu
114
22
0
02 Mar 2023
STA: Self-controlled Text Augmentation for Improving Text
  Classifications
STA: Self-controlled Text Augmentation for Improving Text Classifications
Congcong Wang
Gonzalo Fiz Pontiveros
Steven Derby
Tri Kurniawan Wijaya
46
3
0
24 Feb 2023
Data Augmentation for Neural NLP
Data Augmentation for Neural NLP
Domagoj Pluscec
Jan Snajder
16
6
0
22 Feb 2023
BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination
  Prediction
BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination Prediction
Cai Yang
Addie Woicik
Hoifung Poon
Sheng Wang
22
4
0
14 Feb 2023
Selective In-Context Data Augmentation for Intent Detection using
  Pointwise V-Information
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information
Yen-Ting Lin
Alexandros Papangelis
Seokhwan Kim
Sungjin Lee
Devamanyu Hazarika
Mahdi Namazifar
Di Jin
Yang Liu
Dilek Z. Hakkani-Tür
28
35
0
10 Feb 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
24
28
0
21 Dec 2022
In-context Learning Distillation: Transferring Few-shot Learning Ability
  of Pre-trained Language Models
In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models
Yukun Huang
Yanda Chen
Zhou Yu
Kathleen McKeown
27
30
0
20 Dec 2022
Large Language Models Are Reasoning Teachers
Large Language Models Are Reasoning Teachers
Namgyu Ho
Laura Schmid
Se-Young Yun
ReLM
ELM
LRM
37
316
0
20 Dec 2022
A Unified Knowledge Graph Augmentation Service for Boosting
  Domain-specific NLP Tasks
A Unified Knowledge Graph Augmentation Service for Boosting Domain-specific NLP Tasks
Ruiqing Ding
Xiao Han
Leye Wang
34
1
0
10 Dec 2022
Action-GPT: Leveraging Large-scale Language Models for Improved and
  Generalized Action Generation
Action-GPT: Leveraging Large-scale Language Models for Improved and Generalized Action Generation
Sai Shashank Kalakonda
Shubh Maheshwari
Ravi Kiran Sarvadevabhatla
25
27
0
28 Nov 2022
Tuning Language Models as Training Data Generators for
  Augmentation-Enhanced Few-Shot Learning
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
Yu Meng
Martin Michalski
Jiaxin Huang
Yu Zhang
Tarek F. Abdelzaher
Jiawei Han
VLM
51
46
0
06 Nov 2022
Pneg: Prompt-based Negative Response Generation for Dialogue Response
  Selection Task
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task
Nyoungwoo Lee
chaeHun Park
Ho-Jin Choi
Jaegul Choo
19
6
0
31 Oct 2022
OpenStance: Real-world Zero-shot Stance Detection
OpenStance: Real-world Zero-shot Stance Detection
Hanzi Xu
Slobodan Vučetić
Wenpeng Yin
27
19
0
25 Oct 2022
Augmentation with Projection: Towards an Effective and Efficient Data
  Augmentation Paradigm for Distillation
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation
Ziqi Wang
Yuexin Wu
Frederick Liu
Daogao Liu
Le Hou
Hongkun Yu
Jing Li
Heng Ji
34
5
0
21 Oct 2022
Large Language Models Can Self-Improve
Large Language Models Can Self-Improve
Jiaxin Huang
S. Gu
Le Hou
Yuexin Wu
Xuezhi Wang
Hongkun Yu
Jiawei Han
ReLM
AI4MH
LRM
47
564
0
20 Oct 2022
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
Zilu Tang
Muhammed Yusuf Kocyigit
Derry Wijaya
35
8
0
20 Oct 2022
PeerDA: Data Augmentation via Modeling Peer Relation for Span
  Identification Tasks
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks
Weiwen Xu
Xin Li
Yang Deng
W. Lam
Lidong Bing
34
9
0
17 Oct 2022
Enabling Classifiers to Make Judgements Explicitly Aligned with Human
  Values
Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values
Yejin Bang
Tiezheng Yu
Andrea Madotto
Zhaojiang Lin
Mona T. Diab
Pascale Fung
21
13
0
14 Oct 2022
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering
  Framework
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering Framework
Heng Yang
Ke Li
51
5
0
06 Oct 2022
Scope of Pre-trained Language Models for Detecting Conflicting Health
  Information
Scope of Pre-trained Language Models for Detecting Conflicting Health Information
Josepho D. Gatto
Madhusudan Basak
S. Preum
32
7
0
22 Sep 2022
Reweighting Strategy based on Synthetic Data Identification for Sentence
  Similarity
Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity
Taehee Kim
Chaitanya Malaviya
Yiben Yang
Jared Fernandez
Edward Choi
Jaegul Choo
11
1
0
29 Aug 2022
A Holistic Approach to Undesired Content Detection in the Real World
A Holistic Approach to Undesired Content Detection in the Real World
Todor Markov
Chong Zhang
Sandhini Agarwal
Tyna Eloundou
Teddy Lee
Steven Adler
Angela Jiang
L. Weng
17
211
0
05 Aug 2022
LAD: Language Models as Data for Zero-Shot Dialog
LAD: Language Models as Data for Zero-Shot Dialog
Shikib Mehri
Yasemin Altun
M. Eskénazi
22
25
0
28 Jul 2022
Multi-Level Fine-Tuning, Data Augmentation, and Few-Shot Learning for
  Specialized Cyber Threat Intelligence
Multi-Level Fine-Tuning, Data Augmentation, and Few-Shot Learning for Specialized Cyber Threat Intelligence
Markus Bayer
Tobias Frey
Christian A. Reuter
AAML
24
15
0
22 Jul 2022
Bootstrapping a User-Centered Task-Oriented Dialogue System
Bootstrapping a User-Centered Task-Oriented Dialogue System
Shijie Chen
Ziru Chen
Xiang Deng
A. Lewis
Lingbo Mo
...
Zhen Wang
Xiang Yue
Tianshu Zhang
Yu-Chuan Su
Huan Sun
11
2
0
11 Jul 2022
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in
  Low-Resource NLP
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
Yufei Wang
Jiayi Zheng
Can Xu
Xiubo Geng
Tao Shen
Chongyang Tao
Daxin Jiang
VLM
MoE
28
2
0
21 Jun 2022
Ground-Truth Labels Matter: A Deeper Look into Input-Label
  Demonstrations
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
Kang Min Yoo
Junyeob Kim
Hyuhng Joon Kim
Hyunsoo Cho
Hwiyeol Jo
Sang-Woo Lee
Sang-goo Lee
Taeuk Kim
31
123
0
25 May 2022
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
Jiahui Gao
Renjie Pi
Yong Lin
Hang Xu
Jiacheng Ye
Zhiyong Wu
Weizhong Zhang
Xiaodan Liang
Zhenguo Li
Lingpeng Kong
SyDa
VLM
67
45
0
25 May 2022
Improving Short Text Classification With Augmented Data Using GPT-3
Improving Short Text Classification With Augmented Data Using GPT-3
Salvador Balkus
Donghui Yan
33
33
0
23 May 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural
  Language Understanding
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding
Le Zhang
Zichao Yang
Diyi Yang
36
24
0
12 May 2022
Data Augmentation for Intent Classification with Off-the-shelf Large
  Language Models
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Gaurav Sahu
Pau Rodríguez López
I. Laradji
Parmida Atighehchian
David Vazquez
Dzmitry Bahdanau
19
61
0
05 Apr 2022
Generating Training Data with Language Models: Towards Zero-Shot
  Language Understanding
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
Yu Meng
Jiaxin Huang
Yu Zhang
Jiawei Han
SyDa
32
228
0
09 Feb 2022
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations
Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations
Chris Emmery
Ákos Kádár
Grzegorz Chrupała
Walter Daelemans
17
5
0
17 Jan 2022
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a
  Language-Model-as-a-Service Framework
LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework
Mengjie Zhao
Fei Mi
Yasheng Wang
Minglei Li
Xin Jiang
Qun Liu
Hinrich Schütze
RALM
40
11
0
14 Dec 2021
To Augment or Not to Augment? A Comparative Study on Text Augmentation
  Techniques for Low-Resource NLP
To Augment or Not to Augment? A Comparative Study on Text Augmentation Techniques for Low-Resource NLP
Gözde Gül Sahin
40
33
0
18 Nov 2021
What Changes Can Large-scale Language Models Bring? Intensive Study on
  HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
Boseop Kim
Hyoungseok Kim
Sang-Woo Lee
Gichang Lee
Donghyun Kwak
...
Jaewook Kang
Inho Kang
Jung-Woo Ha
W. Park
Nako Sung
VLM
249
121
0
10 Sep 2021
Want To Reduce Labeling Cost? GPT-3 Can Help
Want To Reduce Labeling Cost? GPT-3 Can Help
Shuohang Wang
Yang Liu
Yichong Xu
Chenguang Zhu
Michael Zeng
10
246
0
30 Aug 2021
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning
Jing Zhou
Yanan Zheng
Jie Tang
Jian Li
Zhilin Yang
VLM
22
76
0
13 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLM
SyDa
37
3,831
0
28 Jul 2021
A Survey on Data Augmentation for Text Classification
A Survey on Data Augmentation for Text Classification
Markus Bayer
M. Kaufhold
Christian A. Reuter
36
334
0
07 Jul 2021
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